CN103767693A - Central aorta blood pressure estimating method and device - Google Patents
Central aorta blood pressure estimating method and device Download PDFInfo
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- CN103767693A CN103767693A CN201210405274.XA CN201210405274A CN103767693A CN 103767693 A CN103767693 A CN 103767693A CN 201210405274 A CN201210405274 A CN 201210405274A CN 103767693 A CN103767693 A CN 103767693A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7278—Artificial waveform generation or derivation, e.g. synthesising signals from measured signals
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/022—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/0215—Measuring pressure in heart or blood vessels by means inserted into the body
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/022—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
- A61B5/02225—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers using the oscillometric method
Abstract
The invention provides a central aorta blood pressure estimating method and device. The device comprises a pulse pressure band, a signal recording and storing unit for capturing and storing the pressure oscillation waveform inside the pulse pressure band, and a computing and analyzing unit for obtaining a set of data according to the pressure oscillation waveform and substituting the set of data into a linear regression equation to obtain a central aorta pressure value, wherein the set of the data comprise a second peak of a systolic period waveform due to waveform reflection, end systolic pressure, the area under the systolic period waveform, the area under a diastolic pressure period waveform, diastolic pressure and heart rate, and the linear regression equation takes the central aorta pressure value as the dependent variable and takes the second peak of the systolic period waveform due to waveform reflection, the end systolic pressure, the area under the systolic period waveform, the area under the diastolic pressure period waveform, the diastolic pressure and the heart rate as the control variables.
Description
Technical field
The present invention relates to a kind of central artery blood pressure method of estimation and device thereof, relate in particular to a kind of according to arm-rest belt internal pressure waveform and application equation of linear regression formula to estimate method and the device thereof of central artery blood pressure.
Background technology
The diagnosis of common blood pressure is systolic pressure (the Systolic Blood Pressure that utilizes upper arm artery; And diastolic pressure (Diastolic Blood Pressure SBP); DBP) decide, mostly the measurement of upper arm artery blood pressure numerical value (comprising systolic pressure and diastolic pressure etc.) is to measure with traditional mercury column or electric sphygmomanometer again.But many documents and research points out, the predictive ability of blood systolic pressure (SBP-C) the predicting cardiovascular event that central artery (Central Aorta) is recorded to is than high by the measured numerical value of upper arm artery.
For example, the hemodynamics of hypertensive patient's central artery often presents extremely, that is has the phenomenons such as enhancing, the increase of pulse wave conduction velocity and the reduction of compliance of echo.The pressure of central artery has been proved to be the clinical important predictive factors of hypertensive patient.The measured brachial arterial pressure numerical value of sphygomanometer of tradition or electronics is Peripheral arteries blood pressure, is conventionally significantly higher than the blood pressure of central artery, for example: the pressure value that ascending aorta or carotid artery are measured.In other words,, if can obtain accurately the blood systolic pressure of central artery, have more significant effect for prediction of hypertension and relevant cardiovascular disease.
The open case of United States Patent (USP) discloses a kind of method that distal artery blood pressure is estimated for No. 20090149763, and it sets up an equation of linear regression formula, and estimates ascending aorta systolic pressure with this equation.Pulse wave volume record (the Pulse Volume Recording that the technology that this patent discloses is recorded to according to arm-rest belt; PVR) waveform, and obtain that systolic pressure, end systole are pressed, below systole waveform under long-pending and diastolic pressure phase waveform area summation divided by the value of area under diastolic pressure phase waveform and be hidden in the echo pressure of waveform, this equation of linear regression formula obtains dependent variable (ascending aorta systolic pressure) using aforementioned pressure and numerical value as four controlled variables with computing, but it is not accurate enough that the estimated result of its ascending aorta systolic pressure still seems, that is data consistency is poor and error is disperseed too large (referring to Fig. 4 and Fig. 5 of the disclosure case).
The problem meeting with for above-mentioned prior art, the present invention proposes a kind of method of estimation of central artery blood pressure, and uses this kind of method can correctly estimate the device of central artery blood pressure and easy operating.
Summary of the invention
The invention provides a kind of central artery blood pressure method of estimation and device thereof.This kind of estimation technique selected important controlled variable and optimal number thereof, really the important relationship of reaction pulse wave volume wave recording and actual central artery blood pressure, therefore can make the estimation result of equation of linear regression formula quite accurate, can be widely used in current commercially available electric sphygmomanometer.
The invention provides a kind of central artery blood pressure estimation unit, comprise: arm-rest belt, signal record and storage element, capture and store this arm-rest belt internal pressure waveform, and computing and analytic unit, according to this pressure oscillation waveform to obtain one group of numerical value, wherein this group numerical value comprises that waveform reflection causes the second peak value of systole waveform, end systole is pressed, long-pending below systole waveform, area under diastolic pressure phase waveform, diastolic pressure and heart rate, and by this group numerical value controlled variable corresponding to substitution equation of linear regression formula and obtain the force value of central artery respectively, wherein this equation of linear regression formula is take central artery blood pressure as dependent variable, cause again the second peak value of systole waveform with waveform reflection, the systolic pressure in the systolic pressure end of term, long-pending below systole waveform, area under diastolic pressure phase waveform, diastolic pressure and heart rate are these controlled variables.This pressure oscillation waveform comprises pulse wave volume wave recording.
Implement in kenel in one, this central artery blood pressure estimation unit separately comprises pressure and changes regulation and control unit, controls supercharging in this arm-rest belt, maintains pressure or decompression.This pulse wave volume wave recording is changed in this arm-rest belt of regulation and control unit controls and is maintained the pressure signal that pressure obtains under constant pressure by this pressure.
Implement in kenel in one, the force value of this central artery is systolic pressure SBP-C, and this equation of linear regression formula is expressed as follows again:
SBP-C=s1 × SBP2+s2 × ESP+s3 × As+s4 × Ad+a5 × DBP+s6 × Heart Rate+c1; Wherein SBP-C represents that this systolic pressure, SBP2 represent that this second peak value, ESP represent that this end systole is pressed, As represents that long-pending below this systole waveform, Ad represents that under this diastolic pressure phase waveform, area, DBP represent that this diastolic pressure and Heart Rate represent this heart rate; S1～s6 and c1 are constant.
In above-mentioned enforcement kenel, this constant s1～s6 and c1 are respectively 0.30,0.20,1.97,0.87 ,-0.75,1.00 and-58.16.
Implement in kenel in one, the force value of this central artery is pulse pressure PP-C, and this equation of linear regression formula is expressed as follows again:
PP-C=p1 × SBP2+p2 × ESP+p3 × As+p4 × Ad+p5 × DBP+p6 × Heart Rate+c2; Wherein PP-C represents that this pulse pressure, SBP2 represent that this second peak value, ESP represent that this end systole is pressed, As represents that long-pending below this systole waveform, Ad represents that under this diastolic pressure phase waveform, area, DBP represent that this diastolic pressure and Heart Rate represent this heart rate; P1～p6 and c2 are constant.
In above-mentioned enforcement kenel, this constant p1～p6 and c2 are respectively 0.26 ,-0.06,2.61,1.37 ,-1.73,1.62 and-114.64.
The present invention provides a kind of central artery blood pressure method of estimation again, comprise: set up equation of linear regression formula take central artery blood pressure as dependent variable, wherein the controlled variable of this equation of linear regression formula comprise that waveform reflection causes that the second peak value of systole waveform, end systole are pressed, area, diastolic pressure and heart rate under long-pending below systole waveform, diastolic pressure phase waveform; Acquisition arm-rest belt internal pressure waveform to be to obtain one group of numerical value, and wherein this group numerical value comprises that waveform reflection causes area, diastolic pressure and heart rate under long-pending below second peak value, the systolic pressure in the systolic pressure end of term, systole waveform of systole waveform, diastolic pressure phase waveform; And by this group numerical value controlled variable corresponding to this equation of linear regression formula of substitution and obtain the force value of central artery respectively.
Accompanying drawing explanation
Fig. 1 is the block chart of central artery blood pressure estimation unit of the present invention.
Fig. 2 is the schematic diagram of pressure oscillation waveform of the present invention and special value.
Fig. 3 is the flow chart of central artery blood pressure method of estimation of the present invention.
Fig. 4 and 5 is for carrying out the cartogram that Blanc moral-ultraman is analyzed according to equation of linear regression formula (1) estimated result.
Fig. 6 and 7 is for carrying out the cartogram that Blanc moral-ultraman is analyzed according to equation of linear regression formula (2) estimated result.
Critical piece Reference numeral:
10 central artery blood pressure estimation units
11 arm-rest belts
12 signal records and storage element
13 pressure change regulation and control unit
14 computings and analytic unit
The force value of BP central artery
S pressure oscillation waveform
The reflection of SBP2 waveform causes the second peak value of systole waveform
The systolic pressure in the ESP systolic pressure end of term
Long-pending below As systole waveform
Area under Ad diastolic pressure phase waveform
DBP diastolic pressure
Heart Rate heart rate
SBP-C systolic pressure
PP-C pulse pressure
S31, S32, S33 step
The specific embodiment
Illustrate in detail by specific embodiment below, when the technique effect that is easier to understand object of the present invention, technology contents, feature and reaches.
The arm-rest belt internal pressure waveform that the present invention records in Measure blood pressure process according to electric sphygmomanometer, and by equation of linear regression formula for example, (: the pressure reduction of systolic pressure, diastolic pressure and systolic pressure and diastolic pressure (or claims pulse pressure PP to obtain the unusual pressure value of approximate center tremulous pulse; Pulse pressure) etc. pressure value), thereby the generation of correct office hypertension and relevant cardiovascular disease.
Fig. 1 is the block chart of central artery blood pressure estimation unit of the present invention.Central artery blood pressure estimation unit 10 comprises that arm-rest belt 11, signal record and storage element 12, pressure change regulation and control unit 13 and computing and analytic unit 14, and wherein signal record and storage element 12 can be integrated into single IC chip element with computing and analytic unit 14.In other embodiments, signal record and storage element 12 also can carry out the processing of sub-cell function by multiple IC chip elements respectively with computing and analytic unit 14, therefore not limited by the illustration of the present embodiment and accompanying drawing.Those skilled in the art are when knowing, in signal record and storage element 12, memory function can be memorizer.
Arm-rest belt 11 is for fixing to the upper arm of user, to capture arm-rest belt internal pressure waveform S.In the present embodiment, this pressure oscillation waveform comprises pulse wave volume wave recording.
Signal record and storage element 12 this pressure oscillation waveform of acquisition S, and store this pressure oscillation waveform S.
Pressure changes supercharging in regulation and control unit 13 controlled arm-rest belt 11 processed, maintains pressure or decompression.Need specify at this, pressure changes the pressure in the controlled arm-rest belt 11 processed in regulation and control unit 13, maintains a constant constant pressure within a period of time.In the present embodiment, pressure changes the pressure in the controlled arm-rest belt 11 processed in regulation and control unit 13, approximately continue to maintain constant 60mmHg in 30 seconds, but the present invention is not as limit.Those skilled in the art are when knowing, arm-rest belt internal pressure capable of regulating is between 40-70mmHg.
Computing and analytic unit 14 are according to this pressure oscillation waveform to obtain one group of numerical value, and wherein this group numerical value comprises that waveform reflection causes the second peak value (SBP2 of systole waveform; Pressure value of the latesystolic shoulder produced by wave reflections or the second peak of the systolicblood pressure), the systolic pressure (ESP in the systolic pressure end of term; End-systolic pressure), long-pending (As below systole waveform; The area under curve during systole), area (Ad under diastolic pressure phase waveform; The area under curve during diastole), diastolic pressure (DBP; Pressure value at end-diastole) and heart rate (heart rate).Moreover computing and analytic unit 14 are by this group numerical value controlled variable corresponding to substitution equation of linear regression formula and obtain the force value of central artery respectively.This group numerical value represents that in pressure oscillation waveform meaning and position will narrate hereinafter, and the foundation of this equation of linear regression formula and expression mode will be narrated hereinafter again.
Fig. 2 is the schematic diagram of pressure oscillation waveform of the present invention and special value.In pressure oscillation waveform, maximum pressure value is systolic pressure (SBP; Systolic blood pressure).Between systole, have again one for waveform reflection causes sub-high pressure power value or the second peak value, be aforementioned SBP2, or shoulder value (late systolic shoulder) after being called in systole.The force value that systole foot couple is answered is the systolic pressure ESP in the systolic pressure end of term.Between systole, under waveform, area is As, and between relaxing period (period representing take oblique line beyond systole), under waveform, area is Ad again.In pressure oscillation waveform, minimum pressure value is diastolic pressure DBP.
This equation of linear regression formula is take central artery blood pressure as dependent variable, and to cause the second peak value SBP2, the end systole of systole waveform to press area Ad, diastolic pressure DBP and heart rate Heart Rate under long-pending As below ESP, systole waveform, diastolic pressure phase waveform be controlled variable in waveform reflection again.This equation of linear regression formula can be expressed as follows:
SBP-C=0.30×SBP2＋0.20×ESP＋1.97×As＋0.87×Ad-0.75×DBP＋1.00×Heart Rate-58.16 ……(1)
PP-C=0.26×SBP2-0.06×ESP＋2.61×As＋1.37×Ad-1.73×DBP＋1.62×Heart Rate-114.64 ……(2)
In equation (1) and (2), the estimated value of the systolic pressure that SBP-C is central artery; PP-C is the estimated value of the pulse pressure of central artery.Regression coefficient (being constant) in equation before each controlled variable and constant (58.16 ,-114.64) are only for illustrating; can elements differences different because of central artery blood pressure estimation unit or that use adjust, the present embodiment does not limit the scope of the invention.
Fig. 3 is the flow chart of central artery blood pressure method of estimation of the present invention.This method of estimation is applied to above-mentioned central artery blood pressure estimation unit 10, or can be applicable to general electric sphygmomanometer to promote its function.Referring to step S31, accept invasive and non-invasive measurement gained blood pressure signal by multidigit experimenter, therefore can obtain experimenter's central artery blood pressure and upper arm artery blood pressure.And utilize multivariate analysis of variance (multivariate analysis of variance) to set up equation of linear regression formula, it is its controlled variable (referring to above) that this equation is obtained multiple special parameters by upper arm artery blood pressure signal (being pressure oscillation waveform), can correctly estimate the pressure value of central artery.Between selected six controlled variables of the present invention and central artery blood pressure, there is very strong relation, therefore can correctly estimate central artery blood pressure, but the present invention is not as limit.
As shown in step S32, the arm-rest belt 11 of central artery blood pressure estimation unit 10 is fixed on to the upper arm of a user, with acquisition arm-rest belt 11 internal pressure waveforms and obtain one group of numerical value, wherein this group numerical value comprises that waveform reflection causes area Ad, diastolic pressure DBP and heart rate HeartRate under long-pending As below the second peak value SBP2, the systolic pressure ESP in the systolic pressure end of term, the systole waveform of systole waveform, diastolic pressure phase waveform.The analytical technology of this pressure oscillation waveform, comprise dynamic oscillation waveform analysis (waveform that arm-rest belt records in pressure drop process) and static waveform analysis (waveform that arm-rest belt pressure drop records when a certain constant pressure, that is so-called pulse wave volume record (pulse volumerecording; PVR) waveform).
General electric sphygmomanometer, measuring after the process of upper arm artery blood pressure (this upper arm artery blood pressure values comprises systolic pressure, mean blood pressure, diastolic pressure and heart rates), is enclosed bag the arm-rest belt internal pressure of arm and is adjusted to 60 constant millimetress of mercury.Now, blood, by upper arm artery, can cause upper arm surface area to increase and resist the applied pressure by arm-rest belt institute.Arm-rest belt can and then cause the change of volume because of the increase of upper arm surface area and the antagonism being under pressure, and can cause the variation of pressure in arm-rest belt after the volume of arm-rest belt dwindles, and this changes and is called PVR waveform.It is generally acknowledged there is very large dependency between this PVR waveform and in fact brachial artery blood pressure waveform or central artery blood pressure, but can cause local feature point on PVR waveform to change because of the characteristic of different arm-rest belts, and affect the accuracy that central artery blood pressure is estimated.The present invention is by addressing the following step in combination, therefore can promote the accuracy of prediction.
Then, then by this group numerical value of gained pressure oscillation waveform in step S32 controlled variable corresponding to this equation of linear regression formula of substitution and obtain the force value of central artery respectively, as shown in step S33.
In the present embodiment, the force value of central artery is systolic pressure SBP-C and pulse pressure PP-C, but those skilled in the art be when knowing, estimated pressure value also can be on pressure reduction, mean blood pressure, diastolic pressure or other clinical medicines of systolic pressure and diastolic pressure force value that can reference.
In sum, above-mentioned equation of linear regression formula is applied to the PVR waveshape signal that general commercially available electric sphygmomanometer obtains by the present invention, and do estimation or the prediction of central artery blood pressure values according to this PVR waveshape signal.Therefore it is not convenient that the multiple instrument that can avoid needing in prior art using restriction to be operated by professional causes, and promote in the lump the accuracy of estimation of central artery blood pressure values, therefore the assessment technology of central artery blood pressure values of the present invention can be extended in general home care and clinical outpatient service.
Above-mentioned equation of linear regression formula accepts invasive by multidigit experimenter and non-invasive measurement obtains the blood pressure signal of enough sample numbers, and sets up the forecast model of central artery blood pressure by multivariate analysis of variance, and hereby details are as follows:
The foundation of equation of linear regression formula
Use ductus arteriosus to carry out invasive direct measurement, implant first group of experimenter's central artery to record central artery pressure waveform, conduit is advanced into ascending aorta place by the present embodiment.This catheter interior comprises the pressure record probe through Siemens (Siemens) authentication, and its resistance is that 200～3,000 ohm (Ohm) and equivalent pressure sensitivity are 5 μ V/V/mmHg ± 10%.Meanwhile, the left side arm of same subject is coated an arm-rest belt, and the PVR signal for example, recording in arm-rest belt in constant depressing (: average 60mmHg) continues for some time, for example: in ten seconds.Can be by average the PVR signal waveform of multiple heart beat cycles in this period, to obtain an average waveform.
By first group of central artery pressure waveform and arm-rest belt internal pressure waveform that experimenter is measured, then can obtain equation of linear regression formula (1) and (2) by multivariate analysis of variance, therefore can estimate central artery blood pressure.In the middle of this analysis, average pressure oscillation waveform need to first utilize systolic pressure and diastolic pressure to carry out waveform correction, then can obtain multiple controlled variables (or parameter) according to the waveform after this correction.The present invention assesses the impact of each controlled variable, and find out six most important controlled variables represent respectively central artery systolic pressure and pulse pressure (dependent variable) with linear equation, these controlled variables can promote the accuracy of estimation of central artery blood pressure, and the quantity of Optimization control parameter assesses the cost to save.
The checking of equation of linear regression formula
Again by second group of experimenter's invasive and the above-mentioned equation of linear regression formula of non-invasive measurement data verification (1) and (2), therefore can learn that the estimated result of these equation of linear regression formulas (1) and (2) is quite accurate, this accuracy meets the standard of European hypertension international agreement (European Society of HypertensionInternational Protocol) suggestion, hereby foundation and the result is listed as follows:
Table one: experimenter's measurement and estimated result
actual invasive measurement result (mmHg)
Systolic pressure 141 ± 27 135 ± 22 of central artery
Diastolic pressure 68 ± 12 70 ± 12 of central artery
Pulse pressure 73 ± 26 64 ± 23 of central artery
actual non-invasive measurement result (mmHg)
estimated result (mmHg)
Systolic pressure 141 ± 25 134 ± 20 of central artery
Diastolic pressure 69 ± 13 70 ± 10 of central artery
Pulse pressure 73 ± 25 64 ± 21 of central artery
For the estimated result of further verifying equation of linear regression formula (1) and (2) different indexs statistically, obtain central artery pressure waveform and arm-rest belt internal pressure waveform by another group experimenter (totally 255), to carry out Blanc moral-ultraman (Bland-Altman Analyses) analysis.Fig. 4 and 5 is for carrying out the cartogram that Blanc moral-ultraman is analyzed according to equation of linear regression formula (1) estimated result.Fig. 6 and 7 is for carrying out the cartogram that Blanc moral-ultraman is analyzed according to equation of linear regression formula (2) estimated result again.
Fig. 4 shows and estimates to obtain the systolic pressure of central artery not only concordance is good, and and to measure between the systolic pressure of central artery dependency also very high.Fig. 5 shows and estimates that the systolic pressure that obtains central artery deducts error statistics figure between the systolic pressure that measures central artery, within the error of the overwhelming majority all falls within two standard deviations, and without the phenomenon of system drift (systematic drift).
Fig. 6 shows and estimates to obtain the pulse pressure of central artery not only concordance is good, and and to measure between the pulse pressure of central artery dependency also very high.Fig. 7 shows and estimates that the pulse pressure that obtains central artery deducts error statistics figure between the pulse pressure that measures central artery, within the error of the overwhelming majority all falls within two standard deviations, and without the phenomenon of system drift (systematic drift).Estimate the diastolic pressure of central artery if obtain, the systolic pressure that equation of linear regression formula (1) can be calculated deducts the pulse pressure that equation of linear regression formula (2) calculates.
Below for preferred embodiment, the present invention is described, only as described above, only, for making those skilled in the art be easy to understand content of the present invention, be not used for limiting interest field of the present invention.Under the present invention, those skilled in the art can think and various equivalence changes.For example, the processing of waveshape signal or correction order.Again, the block chart of central artery blood pressure estimation unit 10, can plant or increase other function squares, but can not affect the technology of the present invention content, for example: the screen of wave filter or demonstration predicted numerical value etc.
Claims (15)
1. a central artery blood pressure estimation unit, is characterized in that, comprises:
Arm-rest belt;
Signal record and storage element, capture and store this arm-rest belt internal pressure waveform; And
Computing and analytic unit, according to this pressure oscillation waveform, to obtain one group of numerical value, this group numerical value comprises that waveform reflection causes that the second peak value of systole waveform, end systole are pressed, area, diastolic pressure and heart rate under long-pending below systole waveform, diastolic pressure phase waveform;
Wherein, this computing and analytic unit by the reflection of this waveform cause that the second peak value of systole waveform, this end systole are pressed, area, this diastolic pressure and this heart rate controlled variable corresponding to substitution equation of linear regression formula respectively under long-pending below this systole waveform, this diastolic pressure phase waveform, to obtain the force value of central artery.
2. central artery blood pressure estimation unit as claimed in claim 1, is characterized in that, separately comprises:
Pressure changes regulation and control unit, and the pressure of controlling in this arm-rest belt increases, maintains or reduce.
3. central artery blood pressure estimation unit as claimed in claim 2, is characterized in that, this pressure oscillation waveform comprises pulse wave volume wave recording.
4. central artery blood pressure estimation unit as claimed in claim 3, is characterized in that, the pressure that this pulse wave volume wave recording changes in this arm-rest belt of regulation and control unit controls by this pressure is maintained at the pressure signal obtaining under constant pressure.
5. central artery blood pressure estimation unit as claimed in claim 1, is characterized in that, the force value of this central artery is systolic pressure, and this equation of linear regression formula is expressed as follows again:
SBP-C=s1×SBP2＋s2×ESP＋s3×As＋s4×Ad＋a5×DBP＋s6×Heart Rate＋c1
Wherein SBP-C represents that this systolic pressure, SBP2 represent that this second peak value, ESP represent that this end systole is pressed, As represents that long-pending below this systole waveform, Ad represents under this diastolic pressure phase waveform that area, DBP represent that this diastolic pressure, Heart Rate represent that this heart rate and s1, s2, s3, s4, s5, s6, c1 are constant.
6. central artery blood pressure estimation unit as claimed in claim 5, is characterized in that, this constant s1, s2, s3, s4, s5, s6, c1 are respectively 0.30,0.20,1.97,0.87 ,-0.75,1.00 and-58.16.
7. central artery blood pressure estimation unit as claimed in claim 1, is characterized in that, the force value of this central artery is pulse pressure, and this equation of linear regression formula is expressed as follows again:
PP-C=p1×SBP2＋p2×ESP＋p3×As＋p4×Ad＋p5×DBP＋p6×Heart Rate＋c2
Wherein PP-C represents that this pulse pressure, SBP2 represent that this second peak value, ESP represent that this end systole is pressed, As represents that long-pending below this systole waveform, Ad represents under this diastolic pressure phase waveform that area, DBP represent that this diastolic pressure, Heart Rate represent that this heart rate and p1, p2, p3, p4, p5, p6, c2 are constant.
8. central artery blood pressure estimation unit as claimed in claim 7, is characterized in that, this constant p1, p2, p3, p4, p5, p6, c2 are respectively 0.26 ,-0.06,2.61,1.37 ,-1.73,1.62 and-114.64.
9. a central artery blood pressure method of estimation, is characterized in that, comprises:
Set up the equation of linear regression formula take central artery blood pressure as dependent variable, wherein this equation of linear regression formula has multiple controlled variables;
Acquisition arm-rest belt internal pressure waveform to be to obtain one group of numerical value, and wherein this group numerical value comprises that waveform reflection causes area, diastolic pressure and heart rate under long-pending below second peak value, the systolic pressure in the systolic pressure end of term, systole waveform of systole waveform, diastolic pressure phase waveform; And
By this group numerical value controlled variable corresponding to this equation of linear regression formula of substitution and obtain the force value of central artery respectively.
10. central artery blood pressure method of estimation as claimed in claim 9, is characterized in that, this pressure oscillation waveform comprises pulse wave volume wave recording.
11. central artery blood pressure methods of estimation as claimed in claim 10, is characterized in that, the pressure in this this arm-rest belt of pulse wave volume wave recording control is maintained at the pressure signal obtaining under constant pressure.
12. central artery blood pressure methods of estimation as claimed in claim 9, is characterized in that, the force value of this central artery is systolic pressure, and this equation of linear regression formula is expressed as follows again:
SBP-C=s1×SBP2＋s2×ESP＋s3×As＋s4×Ad＋a5×DBP＋s6×Heart Rate＋c1
Wherein SBP-C represents that this systolic pressure, SBP2 represent that this second peak value, ESP represent that this end systole is pressed, As represents that long-pending below this systole waveform, Ad represents under this diastolic pressure phase waveform that area, DBP represent that this diastolic pressure and Heart Rate represent that this heart rate and s1, s2, s3, s4, s5, s6, c1 are constant.
13. central artery blood pressure methods of estimation as claimed in claim 12, is characterized in that, this constant s1, s2, s3, s4, s5, s6, c1 are respectively 0.30,0.20,1.97,0.87 ,-0.75,1.00 and-58.16.
14. central artery blood pressure methods of estimation as claimed in claim 9, is characterized in that, the force value of this central artery is pulse pressure, and this equation of linear regression formula is expressed as follows again:
PP-C=p1×SBP2＋p2×ESP＋p3×As＋p4×Ad＋p5×DBP＋p6×Heart Rate＋c2
Wherein PP-C represents that this pulse pressure, SBP2 represent that this second peak value, ESP represent that this end systole is pressed, As represents that long-pending below this systole waveform, Ad represents under this diastolic pressure phase waveform that area, DBP represent that this diastolic pressure and Heart Rate represent that this heart rate and p1, p2, p3, p4, p5, p6, c2 are constant.
15. central artery blood pressure methods of estimation as claimed in claim 14, is characterized in that, this constant p1, p2, p3, p4, p5, p6, c2 are respectively 0.26 ,-0.06,2.61,1.37 ,-1.73,1.62 and-114.64.
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210405274.XA CN103767693B (en) | 2012-10-22 | 2012-10-22 | Central artery blood pressure estimation unit |
| US14/437,403 US20150272512A1 (en) | 2012-10-22 | 2013-01-18 | Central blood pressure estimation method and device thereof |
| PCT/CN2013/070673 WO2014063451A1 (en) | 2012-10-22 | 2013-01-18 | Central aorta blood pressure estimation method and device thereof |
| TW102137385A TWI600408B (en) | 2012-10-22 | 2013-10-16 | Method for estimating central aortic blood pressure and apparatus using the same |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210405274.XA CN103767693B (en) | 2012-10-22 | 2012-10-22 | Central artery blood pressure estimation unit |
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| Publication Number | Publication Date |
|---|---|
| CN103767693A true CN103767693A (en) | 2014-05-07 |
| CN103767693B CN103767693B (en) | 2016-08-10 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201210405274.XA Active CN103767693B (en) | 2012-10-22 | 2012-10-22 | Central artery blood pressure estimation unit |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US20150272512A1 (en) |
| CN (1) | CN103767693B (en) |
| TW (1) | TWI600408B (en) |
| WO (1) | WO2014063451A1 (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104116503A (en) * | 2014-07-16 | 2014-10-29 | 华中科技大学 | Noninvasive continuous blood pressure measuring method and device |
| CN107530005A (en) * | 2015-02-09 | 2018-01-02 | 日东电工株式会社 | Method and apparatus for the mean arterial pressure of derived object |
| CN111588365A (en) * | 2019-02-20 | 2020-08-28 | 百略医学科技股份有限公司 | Blood pressure measuring device capable of evaluating arteriosclerosis |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20230293117A1 (en) | 2022-03-17 | 2023-09-21 | Microlife Corporation | Method for estimating blood pressures using photoplethysmography signal analysis and system using the same |
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| US5265011A (en) * | 1989-04-03 | 1993-11-23 | Eastern Medical Testing Services, Inc. | Method for ascertaining the pressure pulse and related parameters in the ascending aorta from the contour of the pressure pulse in the peripheral arteries |
| US20020087054A1 (en) * | 2001-01-03 | 2002-07-04 | Wen-Guai Lin | System and a method for monitoring the effectiveness of a medical treatment |
| TW200924711A (en) * | 2007-12-10 | 2009-06-16 | Univ Nat Yang Ming | Improved estimation of pressure at remote site by brachial oscillometric wave from analysis |
| CN102026576A (en) * | 2008-05-15 | 2011-04-20 | 帕尔斯科尔有限公司 | Method for estimating a central pressure waveform obtained with a blood pressure cuff |
| CN102657520A (en) * | 2012-05-18 | 2012-09-12 | 重庆山外山科技有限公司 | Sphygmomanometer for purifying blood |
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2012
- 2012-10-22 CN CN201210405274.XA patent/CN103767693B/en active Active
-
2013
- 2013-01-18 US US14/437,403 patent/US20150272512A1/en not_active Abandoned
- 2013-01-18 WO PCT/CN2013/070673 patent/WO2014063451A1/en active Application Filing
- 2013-10-16 TW TW102137385A patent/TWI600408B/en active
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| US5265011A (en) * | 1989-04-03 | 1993-11-23 | Eastern Medical Testing Services, Inc. | Method for ascertaining the pressure pulse and related parameters in the ascending aorta from the contour of the pressure pulse in the peripheral arteries |
| US5054494A (en) * | 1989-12-26 | 1991-10-08 | U.S. Medical Corporation | Oscillometric blood pressure device |
| US20020087054A1 (en) * | 2001-01-03 | 2002-07-04 | Wen-Guai Lin | System and a method for monitoring the effectiveness of a medical treatment |
| TW200924711A (en) * | 2007-12-10 | 2009-06-16 | Univ Nat Yang Ming | Improved estimation of pressure at remote site by brachial oscillometric wave from analysis |
| CN102026576A (en) * | 2008-05-15 | 2011-04-20 | 帕尔斯科尔有限公司 | Method for estimating a central pressure waveform obtained with a blood pressure cuff |
| CN102657520A (en) * | 2012-05-18 | 2012-09-12 | 重庆山外山科技有限公司 | Sphygmomanometer for purifying blood |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104116503A (en) * | 2014-07-16 | 2014-10-29 | 华中科技大学 | Noninvasive continuous blood pressure measuring method and device |
| CN104116503B (en) * | 2014-07-16 | 2016-08-24 | 华中科技大学 | A kind of measurement apparatus of noinvasive continuous blood pressure |
| CN107530005A (en) * | 2015-02-09 | 2018-01-02 | 日东电工株式会社 | Method and apparatus for the mean arterial pressure of derived object |
| US11172891B2 (en) | 2015-02-09 | 2021-11-16 | Nitto Denko Corporation | Method and apparatus for deriving mean arterial pressure of a subject |
| CN107530005B (en) * | 2015-02-09 | 2021-12-14 | 日东电工株式会社 | Method and device for deriving mean arterial pressure of a subject |
| CN111588365A (en) * | 2019-02-20 | 2020-08-28 | 百略医学科技股份有限公司 | Blood pressure measuring device capable of evaluating arteriosclerosis |
| CN111588365B (en) * | 2019-02-20 | 2023-06-06 | 百略医学科技股份有限公司 | Blood pressure measuring device capable of evaluating arteriosclerosis |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2014063451A1 (en) | 2014-05-01 |
| TW201402067A (en) | 2014-01-16 |
| TWI600408B (en) | 2017-10-01 |
| US20150272512A1 (en) | 2015-10-01 |
| CN103767693B (en) | 2016-08-10 |
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